Document


Title

BSSFFS: blockchain-based sybil-secured smart forest fire surveillance
Document Type: Journal Article
Author(s): Sreemana Datta; Sonal Kumar; Ditipriya Sinha; Ayan Kumar Das
Publication Year: 2021

Cataloging Information

Keyword(s):
  • blockchain
  • consensus algorithm
  • fog nodes
  • forest fire
  • Sybil attack detection
Topic(s):
Record Maintained By:
Record Last Modified: November 18, 2021
FRAMES Record Number: 64739

Description

Forest fires can have multiple engenderers including lighting and thunder, unauthorized human exercises, and unrestrained fire projects. In addition to precautions, quick detection, immediate communication, and prompt response are critical to keeping losses to life and property at bay. This work presents Sybil-secured Smart Forest Fire Surveillance based on Blockchain Technology. This work encompasses a detailed three-layer architecture consisting of IoT Layer (sensors planted in the forest), Fog Layer (a decentralized network of fog nodes), and Cloud Layer (Blockchain-based cloud storage capable of computations, decision making, and forecasting). Further, a Blockchain technology-based framework for secured and Sybil-protected data transmission in wildfire scenarios is proposed here. Moreover, an energy-efficient Blockchain consensus algorithm has also been designed and implemented here. Numerous QoS metrics have been considered and used for the evaluation of the proposed system. This work opens the gate to a vista of further research for secure data transmission in wildfire scenarios.

Online Link(s):
Citation:
Datta, Sreemana; Kumar, Sonal; Sinha, Ditipriya; Das, Ayan Kumar. 2021. BSSFFS: blockchain-based sybil-secured smart forest fire surveillance. Journal of Ambient Intelligence and Humanized Computing online early.